Optimizing re-chlorination injection points for water supply networks using harmony search algorithm

Do Guen Yoo, Sang Myoung Lee, Ho Min Lee, Young Hwan Choi, Joong Hoon Kim

    Research output: Contribution to journalArticlepeer-review

    22 Citations (Scopus)

    Abstract

    In order to achieve the required residual chlorine concentration at the end of a water network, the installation of a re-chlorination facility for a high-quality water supply system is necessary. In this study, the optimal re-chlorination facility locations and doses were determined for real water supply systems, which require maintenance in ord3r to ensure proper residual chlorine concentrations at the pipeline under the present and future conditions. The harmony search algorithm (HSA), which is a meta-heuristic optimization technique, was used for the optimization model. This method was applied to two water supply systems in South Korea and was verified through case studies using different numbers of re-chlorination points. The results show that the proposed model can be used as an efficient water quality analysis and decision making tool, which showed the optimal re-chlorination dose and little deviation in the spatial distribution. In addition, the HSA results are superior to those of the genetic algorithm (GA) in terms of the total injection mass with the same number of evaluations.

    Original languageEnglish
    Article number547
    JournalWater (Switzerland)
    Volume10
    Issue number5
    DOIs
    Publication statusPublished - 2018 Apr 25

    Bibliographical note

    Funding Information:
    Funding: This research was funded by [National Research Foundation of Korea] grant number [2016R1A2A1A05005306].

    Funding Information:
    Acknowledgments: The study was supported by Korea Ministry of Environment as “Projects for Developing Eco-Innovation Technologies (2016002120004)”.

    Publisher Copyright:
    © 2018 by the authors.

    Keywords

    • Harmony search algorithm
    • Optimization
    • Re-chlorination injection
    • Water quality simulation

    ASJC Scopus subject areas

    • Biochemistry
    • Geography, Planning and Development
    • Aquatic Science
    • Water Science and Technology

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